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memisc (version 0.99.25.6)

Management of Survey Data and Presentation of Analysis Results

Description

An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.

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Version

Install

install.packages('memisc')

Monthly Downloads

11,762

Version

0.99.25.6

License

GPL-2

Issues

Pull Requests

Stars

Forks

Repository

http://github.com/melff/memisc/

Homepage

http://www.elff.eu/software/memisc/

Maintainer

Martin Elff

Last Published

July 8th, 2020

Functions in memisc (0.99.25.6)

Conditional Evaluation of an Expression

Apply a Formatting Template to a Numeric or Character Vector

Adding Annotations to Objects

Distinguish between Cases Specified by Logical Conditions

Generate a Codebook of a Data Set

Describe structure of Data Sets and Importers

Collect Objects

format_html.ftable

Format "Flattened Tables" as HTML

deduplicate_labels

Handle duplicated labels

data.set manipulation

Manipulation of Data Sets

Change dimnames, rownames, or colnames

duplicated_labels

Check for and report duplicated labels

Combining flattened tables.

Converting Data Frames into Arrays

Format Objects in HTML, show the HTML Format or Write it to a File

Construction of Lists of Symbols

Convenience Methods for Setting Contrasts

Data Set Objects

format_html.codebook

Format Codebooks as HTML

Write Codebooks and Variable Descriptions into a Text File

Change labels of factors or labelled objects

memisc-deprecated

Deprecated Functions in Package memisc

One-Dimensional Table of Frequences and/or Percentages

Recode Items, Factors and Numeric Vectors

Retain Objects in an Environment

Generic Tables and Data Frames of Descriptive Statistics

items-to-vectors

How Survey Items Are Converted into "Ordinary" Data Vectors

Get Model Summaries for Use with "mtable"

Building Blocks for HTML Code

Add Alternative Variance Estimates to Models Estimates

Take a Sample from a Data Frame-like Object

mtable_format_html

HTML Formatting for 'mtable' Results

mtable_format_latex

Format 'mtable' Results for LaTeX

Levels of Measurement of Survey Items

Convenience wrappers for common statistical functions

Convenience Methods to Sort Data Frames and Data Sets

Table of Percentages with Percentage Base

Interface to Packages 'tibble' and 'haven'

Easy Creation of Tables of Percentages

Query an Object for Information

Object Oriented Interface to Foreign Files

Convert an Array into a Data Frame

Change Names of a Named Object

Reorder an Array or Matrix

A Generic Viewing Function

syntactic-shugar

Syntactic Sugar for Setting Annotations and Attributes

mtable_format_delim

Format for 'mtable' Objects for Writing into File

Comparative Table of Model Estimates

Formatting Styles for Coefficients, Factor Contrasts, and Summary Statistics

mtable_format_print

Print Format for 'mtable' Objects

Table of frequencies for unlabelled codes

HTML Output for 'view.

Utility classes

Named Lists, Lists of Items, and Atomic Vectors

Additional Methods for LaTeX Representations for R objects

Vectors of Univariate Sample Statistics

Create a list and conveniently supply names to its elements

A Dimension Preserving Variant of "sapply" and "lapply"

Operate on grouped data in data frames and data sets

Reshape data frames or data sets

Introduction to the 'memisc' Package

Loop over Variables in a Data Frame or Environment

Substitutions in Language Objects

Convert Annotations, and Value Labels between Encodings